EconPapers    
Economics at your fingertips  
 

Utilities

Chi-Tsun Cheng (), Nuwan Ganganath (), Tsz-Kwan Lee () and Kai-Yin Fok ()
Additional contact information
Chi-Tsun Cheng: RMIT University
Nuwan Ganganath: The University of Western Australia
Tsz-Kwan Lee: Deakin University
Kai-Yin Fok: An Independent Researcher

Chapter Chapter 12 in The Fourth Industrial Revolution, 2021, pp 197-213 from Springer

Abstract: Abstract In this chapter, the authors focus on the impact of artificial intelligence (AI) and associated technological changes on work and jobs in Australia’s utility sector. The chapter comprises extensive commentary on the collective effects of AI incorporating machine learning, big data, blockchain, and other technological advances. The aim is to attempt to predict vocational areas in this industry sector that may diminish, noting that it is a demanding task amidst a plethora of differing views. The analysis mainly focuses on disruptive technology in a relatively broad context that is intended to complement knowledge contributed within other chapters that focus on different industry sectors.

Keywords: Artificial intelligence; Disruption; Jobs; Utility sector (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-1614-3_12

Ordering information: This item can be ordered from
http://www.springer.com/9789811616143

DOI: 10.1007/978-981-16-1614-3_12

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-981-16-1614-3_12